Book chapter
Using Computer-assisted Text Analysis (CATA) to Inform Employment Decisions: Approaches, Software, and Findings
Research in Personnel and Human Resources Management, pp.285-325
Emerald Publishing Limited
2020
DOI: 10.1108/S0742-730120200000038010
Abstract
Abstract
This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.
Details
- Title: Subtitle
- Using Computer-assisted Text Analysis (CATA) to Inform Employment Decisions: Approaches, Software, and Findings
- Creators
- Emily D CampionMichael A Campion
- Resource Type
- Book chapter
- Publication Details
- Research in Personnel and Human Resources Management, pp.285-325
- Publisher
- Emerald Publishing Limited
- DOI
- 10.1108/S0742-730120200000038010
- ISSN
- 0742-7301
- Number of pages
- 41
- Language
- English
- Date published
- 2020
- Academic Unit
- Management and Entrepreneurship
- Record Identifier
- 9984380424302771
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